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Real-Time Extraction and Annotation of Social Media Contents for Predicting National Consumer Confidence Index

Author

Listed:
  • Muhammad Ashraf

    (COMSATS University Islambad Vehari Campus, Pakistan)

  • Arslan Ali Raza

    (COMSATS University Islambad Vehari Campus, Pakistan)

  • Muhammad Ishaq

    (COMSATS University Islambad Vehari Campus, Pakistan)

  • Wareesa Sharif

    (The Islamia University of Bahawalpur, Pakistan)

  • Asad Abbas

    (COMSATS University Islambad Vehari Campus, Pakistan Salman Irshad
    COMSATS University Islambad Vehari Campus, Pakistan)

Abstract

The advent of web enabled technologies has given birth to new communication platforms such as Facebook, Twitter, YouTube, and blogsites. Online users belonging from variant geographical backgrounds share their opinion, sentiments, and appraisals about number of real-world entities on the social media platforms. These opinion bearing contents have great importance to observer and analysts. These opinionative contents can benefit in the prediction of consumer confidence index (CCI) which is referenced by businesses, governments, and other institutions when they make strategic decision. Social media channels and microblogging sites can have a high volume of data on consumer confidence, analyzing such contents can significantly improve the impact and accuracy of CCI but unavailability of consolidated application for the extraction of user generated content is restricting the further process. However, this study aims to conduct an implementation based comparative literature review to unfold the most valuable mechanisms of text extraction, normalization, and annotation of social media contents from Facebook, Twitter, Youtube, and blogging sites for effective prediction of the CCI. A case study of NACOP (Pakistani National Consumer Confidence Predictor) proposed by Ashraf et al. (2022) about the data of purchasing behavior, consumer price, Job/Employment and personal finance is presented to explore the data extraction tools for the Facebook, Twitter, Youtube, and blogging sites. The experimental evaluation revealed that Facepager, Tagv6, Netvizz, and web scrapper are the optimum extraction APIs for Facebook, Twitter, YouTube, and Blogsites respectively. The study has significant implications to theory and practice.

Suggested Citation

  • Muhammad Ashraf & Arslan Ali Raza & Muhammad Ishaq & Wareesa Sharif & Asad Abbas, 2022. "Real-Time Extraction and Annotation of Social Media Contents for Predicting National Consumer Confidence Index," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 292-309, December.
    • Handle: RePEc:rfh:jprjor:v:8:y:2022:i:4:p:292-309
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    References listed on IDEAS

    as
    1. Audi, Marc & Ali, Amjad, 2019. "The Advancement in Information and Communication Technologies (ICT) and Economic Development: A Panel Analysis," MPRA Paper 93476, University Library of Munich, Germany.
    2. Hanjo Odendaal & Monique Reid & Johann F. Kirsten, 2020. "Media‐Based Sentiment Indices as an Alternative Measure of Consumer Confidence," South African Journal of Economics, Economic Society of South Africa, vol. 88(4), pages 409-434, December.
    3. Ivan Roberts & John Simon, 2001. "What do Sentiment Surveys Measure?," RBA Research Discussion Papers rdp2001-09, Reserve Bank of Australia.
    4. Muhammad Ashraf & Arslan Ali Raza & Muhammad Ishaq, 2022. "A Novel Approach Of Social Media Analytics For Predicting National Consumer Confidence Index," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 11(2), pages 220-234, June.
    5. Shahid Shayaa & Sulaiman Ainin & Noor Ismawati Jaafar & Shamsul Bahri Zakaria & Seuk Wai Phoong & Wai Chung Yeong & Mohammed Ali Al-Garadi & Ashraf Muhammad & Arsalan Zahid Piprani, 2018. "Linking consumer confidence index and social media sentiment analysis," Cogent Business & Management, Taylor & Francis Journals, vol. 5(1), pages 1509424-150, January.
    6. Mangold, W. Glynn & Faulds, David J., 2009. "Social media: The new hybrid element of the promotion mix," Business Horizons, Elsevier, vol. 52(4), pages 357-365, July.
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